bayesGDS-package |
Functions to support implementation of the Braun and Damien (2011) Generalized Direct Sampling algorithm. |
bayesGDS |
Functions to support implementation of the Braun and Damien (2011) Generalized Direct Sampling algorithm. |
draw.MVN.proposals |
Draw from MVN, given mean and the Cholesky decomposition of the precision matrix |
draw.thresholds |
Draw thresholds for the accept-reject stage of the GDS sampling algorithm. |
get.GDS.draws |
Collect draws from the target posterior distribution. |
get.LML |
Estimate log marginal likelihood of model |
get.log.dens.MVN |
Evalaute a multivariate normal log density, given mean and the Cholesky decomposition of the precision matrix |
inv.logit |
inverse logit function |
inv.vech |
inverse vech operator on a vector |
logit |
logit function |
log_inv.logit |
log of inverse logit function |
vech |
vech operator on a square matrix |